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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/j-min/VL-T5/blob/main/inference_example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EFToNDeuqE9v"
      },
      "source": [
        "# VL-T5 inference on custom images"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zgSUhoRppsQI"
      },
      "source": [
        "## Download code and install dependencies"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6JMqvnesGnXG",
        "outputId": "fb01a47a-bba1-41b5-d1b3-f08c3fa4ef3d"
      },
      "source": [
        "!git clone https://github.com/j-min/VL-T5"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'VL-T5'...\n",
            "remote: Enumerating objects: 184, done.\u001b[K\n",
            "remote: Counting objects: 100% (184/184), done.\u001b[K\n",
            "remote: Compressing objects: 100% (106/106), done.\u001b[K\n",
            "remote: Total 184 (delta 95), reused 154 (delta 73), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (184/184), 897.61 KiB | 22.44 MiB/s, done.\n",
            "Resolving deltas: 100% (95/95), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oFwDNTs2RwVo",
        "outputId": "19c34f4a-6f2d-44cd-860e-c5e719a448f8"
      },
      "source": [
        "cd VL-T5"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/VL-T5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U25Mz51oRxJH",
        "outputId": "a56a0805-8154-4fc0-a7f7-183d950cdeed"
      },
      "source": [
        "!pip uninstall param -y # to resolve name conflict with src.param.py\n",
        "!pip install -r requirements.txt\n",
        "!python download_backbones.py"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Uninstalling param-1.10.1:\n",
            "  Successfully uninstalled param-1.10.1\n",
            "Collecting git+git://github.com/j-min/language-evaluation@master (from -r requirements.txt (line 12))\n",
            "  Cloning git://github.com/j-min/language-evaluation (to revision master) to /tmp/pip-req-build-kkr_ggfz\n",
            "  Running command git clone -q git://github.com/j-min/language-evaluation /tmp/pip-req-build-kkr_ggfz\n",
            "Collecting torch==1.6.0\n",
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            "Collecting docker-pycreds>=0.4.0\n",
            "  Downloading https://files.pythonhosted.org/packages/f5/e8/f6bd1eee09314e7e6dee49cbe2c5e22314ccdb38db16c9fc72d2fa80d054/docker_pycreds-0.4.0-py2.py3-none-any.whl\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7f/9d/33fb698b92c137e26520ad27d98e21d84a4dc088e7ae683aca157469aad0/sentry_sdk-1.2.0-py2.py3-none-any.whl (133kB)\n",
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            "Collecting subprocess32>=3.5.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/32/c8/564be4d12629b912ea431f1a50eb8b3b9d00f1a0b1ceff17f266be190007/subprocess32-3.5.4.tar.gz (97kB)\n",
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            "Collecting pathtools\n",
            "  Downloading https://files.pythonhosted.org/packages/e7/7f/470d6fcdf23f9f3518f6b0b76be9df16dcc8630ad409947f8be2eb0ed13a/pathtools-0.1.2.tar.gz\n",
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            "Collecting portalocker==2.0.0\n",
            "  Downloading https://files.pythonhosted.org/packages/89/a6/3814b7107e0788040870e8825eebf214d72166adf656ba7d4bf14759a06a/portalocker-2.0.0-py2.py3-none-any.whl\n",
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            "Successfully built wget language-evaluation subprocess32 pathtools\n",
            "\u001b[31mERROR: torchtext 0.10.0 has requirement torch==1.9.0, but you'll have torch 1.6.0 which is incompatible.\u001b[0m\n",
            "Installing collected packages: torch, sacremoses, tokenizers, transformers, sentencepiece, configparser, shortuuid, smmap, gitdb, GitPython, docker-pycreds, sentry-sdk, subprocess32, pathtools, wandb, portalocker, sacrebleu, torchvision, wget, colorlog, language-evaluation\n",
            "  Found existing installation: torch 1.9.0+cu102\n",
            "    Uninstalling torch-1.9.0+cu102:\n",
            "      Successfully uninstalled torch-1.9.0+cu102\n",
            "  Found existing installation: torchvision 0.10.0+cu102\n",
            "    Uninstalling torchvision-0.10.0+cu102:\n",
            "      Successfully uninstalled torchvision-0.10.0+cu102\n",
            "Successfully installed GitPython-3.1.18 colorlog-5.0.1 configparser-5.0.2 docker-pycreds-0.4.0 gitdb-4.0.7 language-evaluation-0.1.0 pathtools-0.1.2 portalocker-2.0.0 sacrebleu-1.5.1 sacremoses-0.0.45 sentencepiece-0.1.96 sentry-sdk-1.2.0 shortuuid-1.0.1 smmap-4.0.0 subprocess32-3.5.4 tokenizers-0.9.4 torch-1.6.0 torchvision-0.7.0 transformers-4.2.1 wandb-0.10.33 wget-3.2\n",
            "Downloading checkpoints if not cached\n",
            "T5-base\n",
            "Downloading: 100% 1.20k/1.20k [00:00<00:00, 1.11MB/s]\n",
            "Downloading: 100% 892M/892M [00:15<00:00, 58.3MB/s]\n",
            "Downloading: 100% 792k/792k [00:00<00:00, 4.09MB/s]\n",
            "BART-base\n",
            "Downloading: 100% 899k/899k [00:00<00:00, 4.49MB/s]\n",
            "Downloading: 100% 456k/456k [00:00<00:00, 3.42MB/s]\n",
            "Downloading: 100% 1.63k/1.63k [00:00<00:00, 1.21MB/s]\n",
            "Downloading: 100% 558M/558M [00:09<00:00, 56.2MB/s]\n",
            "Done!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kIcGYw4HqSGW"
      },
      "source": [
        "## Download the pretrained checkpoint"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tdBlncooUJY4"
      },
      "source": [
        "import gdown"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JXR4YwyiUvp7"
      },
      "source": [
        "!mkdir -p VL-T5/snap/pretrain/VLT5"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 103
        },
        "id": "X1aNEiF3UkRE",
        "outputId": "85da7862-4ab3-463f-8aaf-5259e8976488"
      },
      "source": [
        "gdown.download('https://drive.google.com/uc?id=100qajGncE_vc4bfjVxxICwz3dwiAxbIZ', 'VL-T5/snap/pretrain/VLT5/Epoch30.pth', quiet=False)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=100qajGncE_vc4bfjVxxICwz3dwiAxbIZ\n",
            "To: /content/VL-T5/VL-T5/snap/pretrain/VLT5/Epoch30.pth\n",
            "898MB [00:10, 87.7MB/s]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'VL-T5/snap/pretrain/VLT5/Epoch30.pth'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "40OuYJ6EqYoZ"
      },
      "source": [
        "## Add source code path"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pgVCl4ycVPG8"
      },
      "source": [
        "import sys"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uJ-JojTIVRjR"
      },
      "source": [
        "sys.path.append('/content/VL-T5/VL-T5/src')\n",
        "sys.path.append('/content/VL-T5/VL-T5/inference')"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NP58moDDzCoj"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x8ixVtDalOyd",
        "outputId": "2bf34812-01d6-4f05-aae3-db3fbf5e64e3"
      },
      "source": [
        "cd VL-T5"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/VL-T5/VL-T5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qLobi_yWqfxV"
      },
      "source": [
        "## Build a model and load weights from the pretrained checkpoint"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DTKxNZ1hyOB_",
        "outputId": "3ed60886-360b-4bce-e482-3dfcad37c1ca"
      },
      "source": [
        "!pip uninstall param -y"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[33mWARNING: Skipping param as it is not installed.\u001b[0m\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SSHjKp4JVXmO"
      },
      "source": [
        "from param import parse_args"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6r2dnOinlchP"
      },
      "source": [
        "args = parse_args(\n",
        "    parse=False,\n",
        "    backbone='t5-base',\n",
        "    load='snap/pretrain/VLT5/Epoch30'\n",
        ")\n",
        "args.gpu = 0"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zw2bWcBwlR9w"
      },
      "source": [
        "from vqa import Trainer"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 205,
          "referenced_widgets": [
            "df241edb14b74fcc9b2e4abaf403c0c9",
            "6d1e53359f324a12b283926beb64499e",
            "98116a44b7cb42f791d28b71d700de7b",
            "17c42236c8f742dbae3f231a3a734e3f",
            "e09e9e68612d4af38a26717333b78e36",
            "6ce72742768a45b090733a5e7865708a",
            "5c1832f84e5a477aa326815b57802181",
            "f8fed6bacfe94dc3a7808fd8cae5a44a"
          ]
        },
        "id": "25N-1wxglWqg",
        "outputId": "569c6c8b-831c-4d31-afd4-79c6077d8ba5"
      },
      "source": [
        "trainer = Trainer(args,\n",
        "                  train=False\n",
        "                  )"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "df241edb14b74fcc9b2e4abaf403c0c9",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1389353.0, style=ProgressStyle(descript…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Building Model at GPU 0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Some weights of VLT5VQA were not initialized from the model checkpoint at t5-base and are newly initialized: ['encoder.visual_embedding.feat_embedding.0.weight', 'encoder.visual_embedding.feat_embedding.0.bias', 'encoder.visual_embedding.feat_embedding.1.weight', 'encoder.visual_embedding.absolute_vis_pos_embedding.0.weight', 'encoder.visual_embedding.absolute_vis_pos_embedding.0.bias', 'encoder.visual_embedding.absolute_vis_pos_embedding.1.weight', 'encoder.visual_embedding.obj_order_embedding.weight', 'encoder.visual_embedding.img_order_embedding.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Model loaded from  snap/pretrain/VLT5/Epoch30.pth\n",
            "_IncompatibleKeys(missing_keys=[], unexpected_keys=['encoder.visual_embedding.layer_norm.weight'])\n",
            "Model Launching at GPU 0\n",
            "It took 10.4s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zOaC8jSrqp_M"
      },
      "source": [
        "# Faster R-CNN inference script (from [Huggingface transformers LXMERT demo](https://github.com/huggingface/transformers/tree/master/examples/research_projects/lxmert))"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "99p7pQaNcXtL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 271,
          "referenced_widgets": [
            "f15caebf2cca47d69c54fe24cafc32cb",
            "a3c8e1529f484083a89735ff7488c742",
            "fc2eef35414b4439b1bb42b0f0f21e10",
            "6eff06fe0d8f4f08b86e5b2ecb52b25b",
            "5f295746dd0243e38cdc384a334ca511",
            "51479026eabe4ff5b68a59c586b8a80d",
            "dfde87d9179a4088b69a410d9c48593a",
            "158d3db6f19d4f8dbe20d6c428761769",
            "b1dfbf91b1de4420b0c9df68d593ecaa",
            "5a6bb59c88bb49bf904321f90e0bb8cf",
            "5be8877800824e88b790fbadd51cbe25",
            "86240e89e7b241e0bbe9369756a90f28",
            "99202f62d3aa4920831b121038f6b640",
            "b66dcebe55364ecead5aa6d221615777",
            "6249fbdbbfac47118c567995d3c47058",
            "569af58ac17c4359b31c265f01eaf9cd"
          ]
        },
        "outputId": "46384b7d-c19e-48e4-d2d3-21396b1412e0"
      },
      "source": [
        "from IPython.display import clear_output, Image, display\n",
        "import PIL.Image\n",
        "import io\n",
        "import json\n",
        "import torch\n",
        "import numpy as np\n",
        "from inference.processing_image import Preprocess\n",
        "from inference.visualizing_image import SingleImageViz\n",
        "from inference.modeling_frcnn import GeneralizedRCNN\n",
        "from inference.utils import Config, get_data\n",
        "\n",
        "import wget\n",
        "import pickle\n",
        "import os\n",
        "\n",
        "\n",
        "URL = \"https://raw.githubusercontent.com/airsplay/py-bottom-up-attention/master/demo/data/images/input.jpg\"\n",
        "OBJ_URL = \"https://raw.githubusercontent.com/airsplay/py-bottom-up-attention/master/demo/data/genome/1600-400-20/objects_vocab.txt\"\n",
        "ATTR_URL = \"https://raw.githubusercontent.com/airsplay/py-bottom-up-attention/master/demo/data/genome/1600-400-20/attributes_vocab.txt\"\n",
        "GQA_URL = \"https://raw.githubusercontent.com/airsplay/lxmert/master/data/gqa/trainval_label2ans.json\"\n",
        "VQA_URL = \"https://raw.githubusercontent.com/airsplay/lxmert/master/data/vqa/trainval_label2ans.json\"\n",
        "\n",
        "objids = get_data(OBJ_URL) \n",
        "attrids = get_data(ATTR_URL)\n",
        "gqa_answers = get_data(GQA_URL) \n",
        "vqa_answers = get_data(VQA_URL) \n",
        "frcnn_cfg = Config.from_pretrained(\"unc-nlp/frcnn-vg-finetuned\")\n",
        "frcnn = GeneralizedRCNN.from_pretrained(\"unc-nlp/frcnn-vg-finetuned\", config=frcnn_cfg) \n",
        "image_preprocess = Preprocess(frcnn_cfg) \n",
        "\n",
        "# for visualizing output\n",
        "def showarray(a, fmt='jpeg'):\n",
        "    a = np.uint8(np.clip(a, 0, 255))\n",
        "    f = io.BytesIO()\n",
        "    PIL.Image.fromarray(a).save(f, fmt)\n",
        "    display(Image(data=f.getvalue()))"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "%s not found in cache or force_download set to True, downloading to %s https://s3.amazonaws.com/models.huggingface.co/bert/unc-nlp/frcnn-vg-finetuned/config.yaml /root/.cache/torch/transformers/tmp2hiwish2\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f15caebf2cca47d69c54fe24cafc32cb",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=2132.0, style=ProgressStyle(description…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "loading configuration file cache\n",
            "%s not found in cache or force_download set to True, downloading to %s https://cdn.huggingface.co/unc-nlp/frcnn-vg-finetuned/pytorch_model.bin /root/.cache/torch/transformers/tmpeamu3hf1\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "b1dfbf91b1de4420b0c9df68d593ecaa",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=262398754.0, style=ProgressStyle(descri…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "loading weights file https://cdn.huggingface.co/unc-nlp/frcnn-vg-finetuned/pytorch_model.bin from cache at /root/.cache/torch/transformers/57f6df6abe353be2773f2700159c65615babf39ab5b48114d2b49267672ae10f.77b59256a4cf8343ae0f923246a81489fc8d82f98d082edc2d2037c977c0d9d0\n",
            "All model checkpoint weights were used when initializing GeneralizedRCNN.\n",
            "\n",
            "All the weights of GeneralizedRCNN were initialized from the model checkpoint at unc-nlp/frcnn-vg-finetuned.\n",
            "If your task is similar to the task the model of the checkpoint was trained on, you can already use GeneralizedRCNN for predictions without further training.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X65BZ-Mjq5bh"
      },
      "source": [
        "image_filename = wget.download(URL)"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dIlP4ll7g20l",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 593
        },
        "outputId": "d282f3e3-c727-4d0f-bd57-35f14ee32831"
      },
      "source": [
        "image_dirname = image_filename\n",
        "frcnn_visualizer = SingleImageViz(image_filename, id2obj=objids, id2attr=attrids) \n",
        "\n",
        "images, sizes, scales_yx = image_preprocess(image_filename) \n",
        "\n",
        "output_dict = frcnn(\n",
        "    images, \n",
        "    sizes, \n",
        "    scales_yx = scales_yx, \n",
        "    padding = 'max_detections', \n",
        "    max_detections = frcnn_cfg.max_detections, \n",
        "    return_tensors = 'pt' \n",
        ")\n",
        "\n",
        "# add boxes and labels to the image \n",
        "frcnn_visualizer.draw_boxes(\n",
        "    output_dict.get(\"boxes\"), \n",
        "    output_dict.get(\"obj_ids\"),\n",
        "    output_dict.get(\"obj_probs\"),\n",
        "    output_dict.get(\"attr_ids\"), \n",
        "    output_dict.get(\"attr_probs\"),\n",
        ")\n",
        "\n",
        "showarray(frcnn_visualizer._get_buffer())\n",
        "\n",
        "normalized_boxes = output_dict.get(\"normalized_boxes\") \n",
        "features = output_dict.get(\"roi_features\") "
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wKd3Js8lsBcN"
      },
      "source": [
        "## Load Tokenizer"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZwinEx6wmpvu"
      },
      "source": [
        "from tokenization import VLT5TokenizerFast"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZL-HzwQqmxWY"
      },
      "source": [
        "tokenizer = VLT5TokenizerFast.from_pretrained('t5-base')"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SALHxC8msDyM"
      },
      "source": [
        "## Inference"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EfPYJb3gmzTn"
      },
      "source": [
        "questions = [\"vqa: What is the main doing?\", \n",
        "             \"vqa: What color is the clothing the man wears?\", \n",
        "             \"vqa: What color is the horse?\",] "
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HH9yC99Rm768",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0c57b400-567e-4eca-8426-6eb20547cc42"
      },
      "source": [
        "for question in questions:\n",
        "    input_ids = tokenizer(question, return_tensors='pt', padding=True).input_ids\n",
        "    batch = {}\n",
        "    batch['input_ids'] = input_ids\n",
        "    batch['vis_feats'] = features\n",
        "    batch['boxes'] = normalized_boxes\n",
        "\n",
        "    result = trainer.model.test_step(batch)\n",
        "    print(f\"Q: {question}\")\n",
        "    print(f\"A: {result['pred_ans'][0]}\")"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Q: vqa: What is the main doing?\n",
            "A: riding\n",
            "Q: vqa: What color is the clothing the man wears?\n",
            "A: blue\n",
            "Q: vqa: What color is the horse?\n",
            "A: black\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}